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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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amongst neighborhoods through interventions. Where to apply Website https://www.academictransfer.com/en/jobs/359161/phd-researcher-smart-active-mob… Requirements Specific Requirements A background in either
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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Complete information about the admission procedure can be found on the website for applicants . For questions, please contact the admissions contact persons . Where to apply Website https://is.cuni.cz
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discovered mechanism by which neurons remove dangerous “trash” in a project relevant to human neurodegenerative disease mechanisms. The experienced PhD scientist hired will work on a focused project on the
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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IM2NP (Institut Matériaux Microélectronique Nanosciences de Provence) UMR CNRS 7334 Aix Marseille Université | Marseille, Provence Alpes Cote d Azur | France | 1 day ago
. Funding category: Contrat doctoral Bourse de l'école doctorale (concours) PHD title: Doctorat physique et sciences de la matière PHD Country: France Where to apply Website https://www.abg.asso.fr/fr
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
cycles. Understanding these complex interactions requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous spectrum from the Visible
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required